New soft subspace method to gene expression data clustering

Natthakan Iam-On*, Tossapon Boongoen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

2 Citations (SciVal)

Abstract

Subspace clustering is increasingly recognized as a useful and accurate alternative to conventional techniques. While a large number of hard subspace approaches have been introduced, only a handful of soft counterparts are developed with the common goal of obtaining the optimal cluster-specific dimension weights. These existing methods similarly extend k-means and rely on the iteratively modified cluster centers for the weight determination. As the quality of discovered centers are uncertain, the accuracy of weights may not always be maintained. Intuitively, by reducing such a dependency, the weight modification can be more effective, thus improving the goodness of data clustering. This paper presents a new soft subspace clustering method that implements the above-mentioned idea and demonstrates outstanding performance on real gene expression data, as compared to several existing algorithms found in the literature.

Original languageEnglish
Title of host publicationProceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics
Subtitle of host publicationGlobal Grand Challenge of Health Informatics, BHI 2012
PublisherIEEE Press
Pages984-987
Number of pages4
ISBN (Electronic)9781457721779
ISBN (Print)9781457721762
DOIs
Publication statusPublished - 2012
EventIEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2012. In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering - Hong Kong and Shenzhen, China
Duration: 02 Jan 201207 Jan 2012

Publication series

NameProceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics, BHI 2012

Conference

ConferenceIEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2012. In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering
Country/TerritoryChina
CityHong Kong and Shenzhen
Period02 Jan 201207 Jan 2012

Keywords

  • power capacitators

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